Hand segmentation in a 3-dimensional image

    公开(公告)号:US10586335B2

    公开(公告)日:2020-03-10

    申请号:US15687823

    申请日:2017-08-28

    Abstract: Techniques are provided for segmentation of a hand from a forearm in an image frame. A methodology implementing the techniques according to an embodiment includes estimating a wrist line within an image shape that includes a forearm and a hand. The wrist line estimation is based on a search for a minimum width region of the shape that is surrounded by adjacent regions of greater width on each side of the minimum width region. The method also includes determining a forearm segment, and a hand segment that is separated from the forearm segment by the wrist line. The method further includes labeling the forearm segment and the hand segment. The labeling is based on a connected component analysis of the forearm segment and the hand segment. The method further includes removing the labeled forearm segment from the image frame to generate the image segmentation of the hand.

    HAND GESTURE RECOGNITION FOR VIRTUAL REALITY AND AUGMENTED REALITY DEVICES

    公开(公告)号:US20180189556A1

    公开(公告)日:2018-07-05

    申请号:US15397148

    申请日:2017-01-03

    CPC classification number: G06K9/00355 G06F3/017 G06T7/269

    Abstract: A system for hand gesture recognition includes a display, camera, memory, and processor. When the processor is to execute instructions, the processor is to estimate one or more motion vectors of an object using a pair of consecutive frames and estimate an average motion vector of the object. The processor may also estimate an average motion vector of the object, determine a first histogram of optical flow (HOOF) based on the one or more motion vectors and the average motion vector, determine depth values based on motion vectors from the first HOOF, and determine a second histogram of optical flow (HOOF) based on the depth values. The processor is also to obtain a descriptor based on histogram values from a histogram of optical flow (HOOF) of the one or more motion vectors, a shape descriptor, and the average motion vector and classify the descriptor as a gesture.

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